Data Warehouse Modernization for Real-Time Insights

This white paper discusses the modernization of data warehouses to meet the demands of contemporary data workloads. It outlines the challenges faced by legacy data warehouse platforms, such as inflexibility, high costs, and the inability to handle modern data volumes and user demands. The document details the requirements for a modern data warehouse, including excellent price/performance economics, linear scalability, native support for real-time data, and the ability to manage diverse workloads. It emphasizes the importance of predictable pricing and the need for a flexible deployment model to support cloud migrations and IoT analytics. The paper presents Yellowbrick Data Warehouse as a solution, highlighting its adaptive architecture, compatibility with open standards, and significant performance improvements over traditional systems. Additionally, it shares customer experiences demonstrating the effectiveness of Yellowbrick in modernizing data warehouse operations, improving query performance, and enabling complex analytics that were previously unattainable.